It is often useful to compare the profiles of multiple researchers within similar disciplinary or institutional domains. To demonstrate this comparison, load the NSF funding profiles of three Indiana University researchers into the Sci2 Tool using 'File > Load' and following this path: 'yoursci2directory/sampledata/scientometrics/nsf'. Load 'GeoffreyFox.nsf', 'MichaelMcRobbie.nsf', and 'BethPlale.nsf' in NSF csv format (if these files are not in the sample data directory they can be downloaded from 2.5 Sample Datasets). Then run 'Visualization > Temporal >Horizontal Bar Graph', using the recommended parameters for each.

Select 'GeoffreyFox.nsf' in the Data Manager. Use the following parameters to generate a Horizontal Bar Graph:

Figure 5.5:Funding profile over time of Geoffrey Fox

Now select 'BethPlale.nsf' in the Data Manager. Use the following parameters to generate a Horizontal Bar Graph:

Figure 5.6:Funding profile over time of Beth PlaleFinally, select 'MichaelMcRobbie.nsf' in the Data Manager. Use the following parameters to generate a Horizontal Bar Graph:

Figure 5.7:Funding profile over time of Michael McRobbieThe horizontal bar graph visualizations in Figures 5.5, 5.6, and 5.7 make it easy to see the timespan of different researchers, as well as the types and volume of grants they generally receive (e.g., many small grants or a handful of large ones). From here, it may be useful to compare their Co-PI networks and look more closely at award totals. Select each dataset in the Data Manager window and run 'Data Preparation >Extract Co-Occurrence Network' using these parameters:

Aggregate Function File

Make sure to use the aggregate function file indicated in the image below. Aggregate function files can be found in sci2/sampledata/scientometrics/properties.

About NSF text delimiters:

If you are using a current format (2014 or later) NSF dataset, use a comma in the Text Delimiter field for all algorithms that ask for it, instead of the pipe used in the older format NSF files.

Run 'Visualization > Networks >GUESS' on each generated network to visualize the resulting Co-PI relationships. Select 'GEM' from the layout menu to organize the nodes and edges.

To color and size the nodes and edges using the default Co-PI visualization theme, run 'yoursci2directory/scripts/GUESS/co-PI-nw.py' from 'Script> Run Script ...'.